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» Tackling Large State Spaces in Performance Modelling
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AAAI
2006
15 years 5 months ago
Decision Making in Uncertain Real-World Domains Using DT-Golog
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
Mikhail Soutchanski, Huy Pham, John Mylopoulos
CSL
2007
Springer
15 years 4 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
IJON
2010
138views more  IJON 2010»
15 years 2 months ago
A dynamic Bayesian network to represent discrete duration models
Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
Roland Donat, Philippe Leray, Laurent Bouillaut, P...
FORMATS
2006
Springer
15 years 7 months ago
On the Computational Power of Timed Differentiable Petri Nets
Abstract. Well-known hierarchies discriminate between the computational power of discrete time and space dynamical systems. A contrario the situation is more confused for dynamical...
Serge Haddad, Laura Recalde, Manuel Silva
WETICE
1999
IEEE
15 years 8 months ago
A Hierarchical Proxy Architecture for Internet-Scale Event Services
The rapid growth of the Web has made it possible to build collaborative applications on an unprecedented scale. However, the request-reply interaction model of HTTP limits the rang...
Haobo Yu, Deborah Estrin, Ramesh Govindan